Real-world implementation and adaptation to local settings of first trimester preeclampsia screening in Italy: a systematic review by Silvia Amodeo, Giulia Bonavina, Anna Seidenari, Paolo Ivo Cavoretto, Antonio Farina

“…There is an urgent need for research studies on specific local populations focussing on subtle details capable of maximizing PE screening uptake. …”
Get full text

High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms by Alisah Ozcan, Arsalan Javeed, Erkay Savas

“…These algorithms are based on the radix-2 Cooley-Tukey (CT) and 4-Step techniques, which are rooted in classical FFT research. …”
Get full text

Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…The findings of this work will serve as a valuable resource for researchers, stakeholders, and policymakers to accelerate the adoption of the local energy market for a more efficient, sustainable, and resilient energy future.…”
Get full text

Implementation of numerical modeling algorithms to examine the filtration of multiphase flow through the gas hydrate stability zone in the Ross Sea by Natalia Alekseeva, Sergey Popov, Yury Poveshchenko, Viktoriia Podryga, Grigory Kazakevich, Evgeny Chuvilin, Richard Coffin

Get full text

Economic Nature and Classification of Stablecoins by D. A. Kochergin

Get full text

Applications of machine learning in gravitational-wave research with current interferometric detectors by Elena Cuoco, Marco Cavaglià, Ik Siong Heng, David Keitel, Christopher Messenger

“…As the field evolves, the role of machine learning in advancing gravitational-wave research is expected to become increasingly prominent. …”
Get full text

A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems by Lei Wang, Kongfu Hu, Jingcao Cai, Long Cheng, Yuan Xiong, Jiawei Ren, Qiangqiang Xia

“…The job shop scheduling problem (JSP) is a critical issue in the field of production and manufacturing, and it holds significant research value. A hybrid genetic tabu search algorithm (HGTSA) is introduced, which combines the global search ability of the genetic algorithm (GA) and the local search ability of the tabu search (TS), with the goal of minimizing makespan. …”
Get full text

A bi-subpopulation coevolutionary immune algorithm for multi-objective combinatorial optimization in multi-UAV task allocation by Xi Chen, Yu Wan, Jingtao Qi, Zipeng Zhao, Yirun Ruan, Jun Tang

“…Therefore, this paper constructs a Multi-objective Combinatorial Optimization in Multi-UAV Task Allocation Problem (MCOTAP) model, and proposes a Bi-subpopulation Coevolutionary Immune Algorithm (BCIA). The two coevolutionary mechanisms improve the lower limit of population diversity, and the evolutionary strategy pool integrating multiple strategies and the adaptive strategy selection mechanism enhance the local search ability in the late evolution. …”
Get full text

Delineation of 3D crustal seismic structures beneath western Tibet and the Himalayan range using local earthquake tomography by Arghya Kusum Dey, Niptika Jana, Rahul Biswas

Get full text

A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems by Yong Lu, Shikang Chen, Xukun Zhang, Xiuqin Pan, Yijin Gang, Chenxu Wang

Get full text

Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework by Guangzhang Cui, Wei Zhang, Weiwei Xu, Hujun Bao

“…First, a multi-objective optimization model incorporating task execution constraints and priority constraints is developed, and complexity analysis confirms its NP-hard nature. Second, the IMOMA algorithm enhances population diversity through dynamic opposition-based learning, introduces local search operators tailored for bi-objective optimization, and maintains Pareto optimal solutions via an elite archive. …”
Get full text

An Effective Reactive Power Compensation Method and a Modern Metaheuristic Algorithm for Loss Reduction in Distribution Power Networks by Thang Trung Nguyen, Kim Hung Le, Tan Minh Phan, Minh Quan Duong

Get full text

Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

“…Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. …”
Get full text

Static scheduling method for aircraft flat-tail assembly production based on improved bi-level genetic algorithm by Tengda Li, Min Hua, Junliang Wang, Wei Qin

“…To mitigate genetic algorithms’ convergence to local optima and enhance positive feedback, we implement a variable neighborhood search mechanism combined with elite retention. …”
Get full text

Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

Get full text

A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms by K. Saranya, A. Valarmathi

“…Specifically designed for cross-layer based Internet of Things (IoT) attack detection, the Multi-Layered Deep Auto Encoder (M-LDAE) is introduced in the present research to overcome these challenges. With the use of deep autoencoders hierarchical simplification capabilities, M-LDAE is able to extract latent representations that contain both global and local attributes. …”
Get full text

Protocol for detecting neuronal subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB by Jui-Yen Huang, Gautam Chauhan, Pei-Ying Chen, Esen Tuna, Hui-Chen Lu

Get full text

Estimation and Modeling of Fluctuating Wind Amplitude and Phase Spectrum Using APES Algorithm Based on Field Monitored Data by Dan-hui Dan, Xiang-jie Wang, Xing-fei Yan, Wei Cheng

Get full text

Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…The algorithm completes 50 iterations in every test scenario and achieves the top Friedman Ranking score of 1. …”
Get full text

Multi-Objective Optimization Strategy for Wind-Photovoltaic-Pumped Storage Combined System Based on Gray Wolf Algorithm by ZHANG Liang, ZHENG Lidong, LENG Xiangbiao, LÜ Ling, CAI Guowei

Get full text